Results 71 to 80 of about 2,450,419 (369)
FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source
A convolutional neural network based deep learning methodology for recognition of partial discharge patterns from high voltage cables [PDF]
, 2019 It is a great challenge to differentiate partial discharge (PD) induced by different types of insulation defects in high-voltage cables. Some types of PD signals have very similar characteristics and are specifically difficult to differentiate, even for ...
Bhatti, Ashfaque Ahmed +11 more
core +4 more sources
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Communications MedicineBackground Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information.
Soroosh Tayebi Arasteh +8 more
doaj +1 more source
Real-Time Tunnel Crack Analysis System via Deep Learning
IEEE Access, 2019 Cracks in the tunnel become an unavoidable problem in tunnel construction and tunnel using. Cracks will affect the stability of the tunnel and have a negative impact on the operation of the train.
Qing Song +9 more
doaj +1 more source
Responsible Facial Recognition and Beyond [PDF]
arXiv, 2019 Facial recognition is changing the way we live in and interact with our society. Here we discuss the two sides of facial recognition, summarizing potential risks and current concerns. We introduce current policies and regulations in different countries. Very importantly, we point out that the risks and concerns are not only from facial recognition, but
arxiv
Forward search, pattern recognition and visualization in expert chess: A reply to Chabris and Hearst (2003) [PDF]
, 2003 Chabris and Hearst (2003) produce new data on the question of the respective role of pattern recognition and forward search in expert behaviour. They argue that their data show that search is more important than claimed by Chase and Simon (1973).
Gobet, F
core
Experiences in Pattern Recognition for Machine Olfaction [PDF]
, 2011 Pattern recognition is essential for translating complex olfactory sensor responses into simple outputs that are relevant to users. Many approaches to pattern recognition have been applied in this field, including multivariate statistics (e.g ...
Bessant, Conrad M.
core +1 more source
FEBS Letters, EarlyView.Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi +3 more
wiley +1 more source
Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition
Information, 2015 As a dominant method for face recognition, the subspace learning algorithm shows desirable performance. Manifold learning can deal with the nonlinearity hidden in the data, and can project high dimensional data onto low dimensional data while preserving
Songjiang Lou +3 more
doaj +1 more source